Logistics Optimization - Lead Senior/Staff Software Engineer
Leads development of algorithms and simulations for optimizing clinician routing, scheduling, and dispatch in in-home healthcare logistics. Requires 5+ years backend/full-stack experience, proficiency in TypeScript/Python, and background in operations research or quantitative modeling.
About the job
Responsibilities
- Design and implement algorithms that optimize clinician routing, scheduling, and dispatch at national scale
- Build simulations that model demand, capacity, and patient behavior under real-world constraints
- Develop predictive models for cancellations, no-shows, and overbooking optimization
- Collaborate with product and ops teams to translate complex logistics challenges into scalable software systems
- Prototype and productionize forecasting and optimization models in a distributed environment
- Own projects end-to-end—from design to implementation and iteration
Requirements
- 5+ years of software engineering experience with strong backend or full-stack fundamentals
- Proficiency in JavaScript / TypeScript (preferred) and/or Python
- Experience designing or implementing optimization, forecasting, or simulation systems
- Background in operations research, applied math, or quantitative modeling
- Shipped production systems that balance technical complexity and real-world constraints
- Collaborated cross-functionally with product, ops, or data science teams to drive measurable impact
Nice-to-Haves
- Experience with global optimization techniques or Monte Carlo simulations
- Background in logistics, scheduling, or large-scale routing systems
- Prior work in healthcare or other operationally complex, data-heavy environments
- Experience in 0→1 environments or scaling early-stage technical systems
Tech Stack
- TypeScript / Node.js
- Python
- GraphQL
- AWS (AppSync, DynamoDB, Lambda, CloudFormation)
- BigQuery
- Elasticsearch / OpenSearch
- Looker, Kibana
- Forecasting, simulation, and optimization frameworks
- Custom route annealing and distributed scheduling models
Compensation & Benefits
- Competitive salary aligned with senior engineering levels
- Meaningful pre-IPO equity
- Medical, dental, and vision fully covered for you and your dependents
- Flexible PTO + 10 paid holidays
- 401(k) with company match
- 16-week parental leave (8 weeks for partners)
- HSA / FSA contributions
- Life, short-term, and long-term disability coverage
- Free daily lunch in-office
- Annual learning stipend
Skills
TypeScript, Node.js, Python, GraphQL, AWS, DynamoDB, BigQuery, Elasticsearch, Optimization Algorithms, Simulation Frameworks
Similar jobs
Backend Engineering jobs
Turion Space
Irvine, CA
Leads architecture and development of mission-critical backend systems for spacecraft command, telemetry, mission planning, and operations. Requires 8+ years of software development experience, distributed-systems and cloud-native expertise, and technical leadership.
Grafana Labs
United States
Staff backend engineer responsible for evolving Grafana into a scalable, multi-tenant observability application platform. The role requires production operations experience, distributed-systems expertise, strong communication, and familiarity with Go or willingness to learn it.
United States
Leads the technical direction and hands-on development of scalable backend platforms for Pinterest’s AI-driven products. Requires extensive backend and distributed-systems experience, strong Python skills, production LLM or ML experience, and cross-functional technical leadership.
United States
Leads the technical strategy, architecture, and operation of Pinterest’s large-scale storage infrastructure supporting SQL and graph workloads. Requires 8+ years of backend distributed-systems experience, technical leadership, and expertise in production reliability, performance tuning, and modern database technologies.
Censys
United States
Designs and operates Internet-scale scanning, DNS, attribution, and data pipelines, with deep ownership of distributed backend systems and production reliability. Requires 10+ years of software engineering experience, strong Go expertise, cloud and streaming infrastructure knowledge, and the ability to mentor engineers.